插值法介绍(introduction of interpolation method)

插值法介绍(introduction of interpolation method)

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1、插值法介绍(Introductionofinterpolationmethod)1,thedistancereciprocalmethodThereciprocalreciprocalsquaregridmethodisaweightedmeaninterpolationmethodthatcanbeinterpolatedinanexactorsmoothway.Thesquareparametercontrolshowtheweightcoefficientdecreasesasthedistancefromonegridnodein

2、creases.Foralargersquare,thecloserdatapointsaregivenahigherweightshare,andforasmallernumberofsquares,theweightsareevenlydistributedtoeachdatapoint.Whencalculatingagridnode,theweightsgiventoaspecificdatapointareproportionaltothereciprocalofthedistancefromthenodetotheobserv

3、ationpoint.Whencalculatingagridnode,theweightofthedistributionisafraction,andthesumofallweightsisequalto1.Whenanobservationpointcoincideswithagridnode,theobservationpointisgivenanactualweightof1,andallotherobservationpointsaregivenaweightofalmost0.Inotherwords,thenodeisas

4、signedaconsistentvaluetotheobservationpoint.Thisisanexactinterpolation.Oneofthecharacteristicsofdistancereciprocalmethodistoproducearoundtheobservationpointposition"NIUYANinregionalgrid".Asmoothparametercanbespecifiedwhenthegridofreciprocaldistanceisused.Thesmoothparamete

5、rguaranteesgreaterthanzero.Foraparticularnode,noobservationpointisassignedallweights,eveniftheobservationpointscoincidewiththenode.Smoothparametersthroughthesmoothinginterpolationgridhasbeentoreduce"NIUYAN"effect.2,theKrigingmethodKrigingmethodisaveryusefulinmanyareasofth

6、egeologicalstatisticsgridmethod.TheKrigingmethodtryingtodothatrepresenttheimplicitinyourdatatrend,forexample,willbeconnectedalongahighridge,insteadofbeingisolatedbythecontourshapeofbovine.TheKrigingmethodcontainsseveralfactors:variationmodel,drifttypeandoreblockeffect.3,m

7、inimumcurvaturemethodTheminimumcurvaturemethodiswidelyusedingeosciences.Theinterpolationsurfacegeneratedbytheminimumcurvaturemethodissimilartoathinelasticstripwithminimumbendingquantitythrougheachdatavalue.Theminimumcurvaturemethodtriestogeneratedataassmoothaspossiblewhil

8、erespectingdataasstrictlyaspossible.Theminimumcurvaturemethodinvolvestwoparameters:themaximumres

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